A Novel Time–Frequency-Domain Reflectometry Location Method for Power Cable Defects Based on Synchrosqueezing Transform
Pengfei Meng, Tengfei Li, Kai Zhou, Zhirong Tang, Guangya Zhu, Zerui Li, Yating Cao, Hongzhou Zhang, Yue Yin, Jingke Guo
Abstract
The time-frequency-domain reflectometry (TFDR) method has found its extensive application in location detection of power cable defects. Traditionally, it adopts Wigner-Ville distribution (WVD) to analyze time-frequency of cable signals, resulting in numerous cross terms in the location spectrum of defects, thereby inducing defect misjudgment. To address it, this article proposes a synchrosqueezing transform (SST)-based method to accurately locate the cable defects, which takes SST as the new kernel function for time-frequency analysis instead of WVD. Moreover, the modulation criteria of the test signal are defined to effectively and flexibly test the power cables with different lengths. Due to the characteristics of compression and rearrangement of the time-frequency spectrogram, SST suppresses the cross-term interference, thus improving the spectral peak resolution of locating the cable defects. Finally, the feasibility and effectiveness of the SST-based method are verified by building a simulation model of power cable and field tests, respectively.